Alignment of single-cell trajectories to compare cellular expression dynamics

Ayelet Alpert; Lindsay S. Moore; Tania Dubovik; Shai S. Shen-Orr

doi:https://doi.org/10.1038/nmeth.4628

Alignment of single-cell trajectories to compare cellular expression dynamics

Ayelet Alpert, Lindsay S. Moore, Tania Dubovik, Shai S. Shen-Orr

Technion - Israel Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.

Original language	English
Pages (from-to)	267-270
Number of pages	4
Journal	Nature Methods
Volume	15
Issue number	4
DOIs	https://doi.org/10.1038/nmeth.4628
State	Published - 3 Apr 2018

All Science Journal Classification (ASJC) codes

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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https://doi.org/10.1038/nmeth.4628

Cite this

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title = "Alignment of single-cell trajectories to compare cellular expression dynamics",

abstract = "Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.",

author = "Ayelet Alpert and Moore, {Lindsay S.} and Tania Dubovik and Shen-Orr, {Shai S.}",

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AU - Alpert, Ayelet

AU - Moore, Lindsay S.

AU - Dubovik, Tania

AU - Shen-Orr, Shai S.

PY - 2018/4/3

Y1 - 2018/4/3

N2 - Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.

AB - Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.

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U2 - https://doi.org/10.1038/nmeth.4628

DO - https://doi.org/10.1038/nmeth.4628

M3 - مقالة

SN - 1548-7091

VL - 15

SP - 267

EP - 270

JO - Nature Methods

JF - Nature Methods

IS - 4

ER -

Alignment of single-cell trajectories to compare cellular expression dynamics

Abstract

All Science Journal Classification (ASJC) codes

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